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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

An Improved STL-LSTM Model for Daily Bus Passenger Flow Prediction during the COVID-19 Pandemic
Feng Jiao, Lei Huang, Rongjia Song, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5950-5950
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Prediction of air pollutant concentrations based on TCN-BiLSTM-DMAttention with STL decomposition
Wenlin Li, Xuchu Jiang
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 27
NDVI Forecasting Model Based on the Combination of Time Series Decomposition and CNN – LSTM
Peiqiang Gao, Wenfeng Du, Qingwen Lei, et al.
Water Resources Management (2023) Vol. 37, Iss. 4, pp. 1481-1497
Open Access | Times Cited: 20
Comparison of ARIMA model, DNN model and LSTM model in predicting disease burden of occupational pneumoconiosis in Tianjin, China
H R Lou, Xin Wang, Ya Gao, et al.
BMC Public Health (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 21
Deep Learning XAI for Bus Passenger Forecasting: A Use Case in Spain
Leticia Monje, R.A. Carrasco, Carlos X Rosado, et al.
Mathematics (2022) Vol. 10, Iss. 9, pp. 1428-1428
Open Access | Times Cited: 19
Station-Wise Boarding Passenger Flow Prediction for Public Transport Using Various Machine-Learning Methods
Madhuri Patel, Samir Patel, Debabrata Swain, et al.
Lecture notes in civil engineering (2025), pp. 65-82
Closed Access
Data-Driven Decision Support by Utilizing Machine Learning to Predict Passenger Flow for Route and Station Optimization
Madhuri Patel, Samir Patel, Debabrata Swain
Journal of The Institution of Engineers (India) Series B (2025)
Closed Access
Railway-station-area vitality in response to COVID-19: A case study of diverse Japanese cities
Jiannan Dai, Wenzhe Sun, Qing-Long Lu, et al.
Cities (2025) Vol. 162, pp. 105970-105970
Closed Access
A Deep Learning Application for Deformation Prediction from Ground-Based InSAR
Jianfeng Han, Honglei Yang, Youfeng Liu, et al.
Remote Sensing (2022) Vol. 14, Iss. 20, pp. 5067-5067
Open Access | Times Cited: 15
Origin-destination demand prediction of public transit using graph convolutional neural network
Nithin K. Shanthappa, Raviraj H. Mulangi, M. M. Harsha
Case Studies on Transport Policy (2024) Vol. 17, pp. 101230-101230
Closed Access | Times Cited: 2
A hybrid machine learning-based model for predicting failure of water mains under climatic variations: A Hong Kong case study
Jiduo Xing, Tarek Zayed, Yanqing Dai, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105958-105958
Closed Access | Times Cited: 2
Improved Hierarchical Temporal Memory for Online Prediction of Ocean Time Series Data
Tianao Qin, Ruixin Chen, Rufu Qin, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 4, pp. 574-574
Open Access | Times Cited: 2
Metro Emergency Passenger Flow Prediction on Transfer Learning and LSTM Model
Jingye Ma, Xin Zeng, Xiaoping Xue, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1644-1644
Open Access | Times Cited: 10
Approximation and Analysis of Natural Data Based on NARX Neural Networks Involving Wavelet Filtering
Oksana Mandrikova, Yurii Polozov, Nataly Zhukova, et al.
Mathematics (2022) Vol. 10, Iss. 22, pp. 4345-4345
Open Access | Times Cited: 10
Методи рішення задач з організації пасажирських перевезень автомобільним транспортом
Олена Доля, Костянтин Доля
International Science Journal of Engineering & Agriculture (2023) Vol. 2, Iss. 3, pp. 101-119
Open Access | Times Cited: 6
El Niño Index Prediction Based on Deep Learning with STL Decomposition
Ningmeng Chen, Cheng Su, Sensen Wu, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 8, pp. 1529-1529
Open Access | Times Cited: 5
LSTM Network Integrated with Particle Filter for Predicting the Bus Passenger Traffic
G. Vidya, V. S. S. Pavan Kumar Hari
Journal of Signal Processing Systems (2023) Vol. 95, Iss. 2-3, pp. 161-176
Open Access | Times Cited: 4
COV-STFormer for Short-Term Passenger Flow Prediction During COVID-19 in Urban Rail Transit Systems
Shuxin Zhang, Jinlei Zhang, Lixing Yang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 5, pp. 3793-3811
Closed Access | Times Cited: 4
Deep Learning Based LSTM Model for Predicting the Number of Passengers for Public Transport Bus Operators
Joko Siswanto, Danny Manongga, Irwan Sembiring, et al.
Jurnal Online Informatika (2024) Vol. 9, Iss. 1, pp. 18-28
Open Access | Times Cited: 1
Short-Term Bus Passenger Flow Prediction Based on BiLSTM Neural Network
Xuemei Zhou, Qianlin Wang, Yunbo Zhang, et al.
Journal of Transportation Engineering Part A Systems (2024) Vol. 151, Iss. 1
Closed Access | Times Cited: 1
CHANGES IN TRANSPORT BEHAVIOUR OF THE CZECH POPULATION CAUSED BY STATE OF EMERGENCY
Ladislav BARTUSKA, Ondřej Stopka, Jiri HANZL, et al.
Transport Problems (2022) Vol. 17, Iss. 1, pp. 101-114
Open Access | Times Cited: 4
Hybrid models of subway passenger flow prediction based on convolutional neural network
Yuanwen Lai, Yang Wang, Xin‐ying Xu, et al.
IET Intelligent Transport Systems (2022) Vol. 17, Iss. 4, pp. 716-729
Open Access | Times Cited: 4
A study on muti-strategy predator algorithm for passenger traffic prediction with big data
Yujie Fu, Ming Gao, Xiaohui Zhu, et al.
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
MA-BLTSI model for Land Surface Temperature prediction based on multi-dimensional data
Xing Huo, Nian X. Sun, Lingling Ma
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 7, pp. 6119-6136
Closed Access
A Graph Neural Network Framework for Imbalanced Bus Ridership Forecasting
Samir K. Gupta, Agrima Khanna, Jose Paolo Talusan, et al.
(2024), pp. 14-21
Closed Access
Deformation prediction of arch dams by coupling STL decomposition and LSTM neural network
Jiaqi Yang, Changwei Liu, Jianwen Pan
Applied Intelligence (2024) Vol. 54, Iss. 20, pp. 10242-10257
Closed Access
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